Wiltzer, Harley

8 publications

NeurIPS 2025 Convergence Theorems for Entropy-Regularized and Distributional Reinforcement Learning Yash Jhaveri, Harley Wiltzer, Patrick Shafto, Marc G Bellemare, David Meger

ICLR 2025 Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury

ICML 2024 A Distributional Analogue to the Successor Representation Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andre Barreto, Will Dabney, Marc G Bellemare, Mark Rowland

NeurIPS 2024 Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri

NeurIPS 2024 Foundations of Multivariate Distributional Reinforcement Learning Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland

ICMLW 2024 Revisiting Successor Features for Inverse Reinforcement Learning Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury

NeurIPS 2024 Simplifying Constraint Inference with Inverse Reinforcement Learning Adriana Hugessen, Harley Wiltzer, Glen Berseth

NeurIPS 2023 Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control Nate Rahn, Pierluca D'Oro, Harley Wiltzer, Pierre-Luc Bacon, Marc Bellemare